With multiple regression,it is not necessary to look at the significance level of each calculated beta.

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In multiple regression, it is important to examine the significance level (p-value) of each calculated beta coefficient to determine whether a particular predictor variable is significantly related to the outcome variable, holding all other predictors constant. Beta coefficients with high significance levels (low p-values) indicate that the predictor variable is contributing significantly to the model, while beta coefficients with low significance levels (high p-values) suggest that the variable may not be important or may be redundant with other predictors. Therefore, it is necessary to look at the significance level of each calculated beta in multiple regression.

With Multiple Regression,it Is Not Necessary to Look at the Significance